Journals in DBLP
Artif. Intell. Rakesh V. Vohra , Michael P. Wellman Foundations of multi-agent learning: Introduction to the special issue. [Citation Graph (0, 0)][DBLP ] Journal ] Yoav Shoham , Rob Powers , Trond Grenager If multi-agent learning is the answer, what is the question? [Citation Graph (0, 0)][DBLP ] Journal ] Drew Fudenberg , David K. Levine An economist's perspective on multi-agent learning. [Citation Graph (0, 0)][DBLP ] Journal ] Tuomas Sandholm Perspectives on multiagent learning. [Citation Graph (0, 0)][DBLP ] Journal ] Geoffrey J. Gordon Agendas for multi-agent learning. [Citation Graph (0, 0)][DBLP ] Journal ] Peter Stone Multiagent learning is not the answer. It is the question. [Citation Graph (0, 0)][DBLP ] Journal ] Karl Tuyls , Simon Parsons What evolutionary game theory tells us about multiagent learning. [Citation Graph (0, 0)][DBLP ] Journal ] Shie Mannor , Jeff S. Shamma Multi-agent learning for engineers. [Citation Graph (0, 0)][DBLP ] Journal ] Ido Erev , Alvin E. Roth Multi-agent learning and the descriptive value of simple models. [Citation Graph (0, 0)][DBLP ] Journal ] H. Peyton Young The possible and the impossible in multi-agent learning. [Citation Graph (0, 0)][DBLP ] Journal ] Yu-Han Chang No regrets about no-regret. [Citation Graph (0, 0)][DBLP ] Journal ] Martin Zinkevich , Amy R. Greenwald , Michael L. Littman A hierarchy of prescriptive goals for multiagent learning. [Citation Graph (0, 0)][DBLP ] Journal ] Dov Monderer , Moshe Tennenholtz Learning equilibrium as a generalization of learning to optimize. [Citation Graph (0, 0)][DBLP ] Journal ] 